{ "info": { "author": "Till Stensitzki", "author_email": "tillsten@zedat.fu-berlin.de", "bugtrack_url": null, "classifiers": [], "description": "skultrafast\n===========\nWARNING! THE PROJECT IS A RESTRUCTERING PHASE AND NOT VERY USEABLE FOR NEW USERS!\n\nWhat is skultrafast?\n====================\n\nSkultrafast stands for scikit.ultrafast and is an\npython package which aims to include everthing\nneeded to analyze data from time-resovled spectroscopy experiments in\nthe femtosecond domain.\n\nAims of the project\n-------------------\nI would include any kind of algorithm or data structure which\ncomes up in ultrafast physics. Also, data exploration\nshould be made easy (a.k.a. has a gui for these parts).\n\nUsers\n-----\nAt the moment it is mostly me and other people in my group. I would be happy\nif anyone would like to join the project!\n\n\nSoftware prerequisites\n=======================\nPython 3 only. Requiers numpy, scipy, lmfit, matplotlib, sklearn, statsmodels.\n\nFor maximal speed python opencl should be installed. \n\n\nLicense\n-------\n\nStandard BSD-Licence.", "description_content_type": "", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://github.com/tillsten/skultrafast", "keywords": "science physics chemistry pump-probe spectroscopy time-resolved", "license": "LICENSE.txt", "maintainer": "", "maintainer_email": "", "name": "skultrafast", "package_url": "https://pypi.org/project/skultrafast/", "platform": "", "project_url": "https://pypi.org/project/skultrafast/", "project_urls": { "Homepage": "http://github.com/tillsten/skultrafast" }, "release_url": "https://pypi.org/project/skultrafast/0.2/", "requires_dist": null, "requires_python": ">=3.5", "summary": "Python package for analyzing time-resolved spectra.", "version": "0.2" }, "last_serial": 4293760, "releases": { "0.1": [ { "comment_text": "", "digests": { "md5": "82616d561097d167f7eb84060b83324b", "sha256": "6662bffbfdd424ffb5171f290393baf9a8e46dff0047526319c97f0e449e46fb" }, "downloads": -1, "filename": "skultrafast-0.1.tar.gz", "has_sig": false, "md5_digest": "82616d561097d167f7eb84060b83324b", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.5", "size": 131651, "upload_time": "2018-09-13T10:02:30", "url": "https://files.pythonhosted.org/packages/9b/4d/814003a0f6cfa7c997e2eb423377a08fe88da4e106986b874873e9bf4e89/skultrafast-0.1.tar.gz" } ], "0.2": [ { "comment_text": "", "digests": { "md5": "c5f2d40d6c136cc2b664f65e6596d3b6", "sha256": "78318049e7eb8ff166fff71218282013cf4201c1386fdf30c395f345c4cda4ab" }, "downloads": -1, "filename": "skultrafast-0.2.win-amd64.zip", "has_sig": false, "md5_digest": "c5f2d40d6c136cc2b664f65e6596d3b6", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.5", "size": 2761292, "upload_time": "2018-09-20T18:38:14", "url": "https://files.pythonhosted.org/packages/ba/7d/28dbf27605792a2c8b83863d01793b0af2842bf3a9a66bf776326f551e55/skultrafast-0.2.win-amd64.zip" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "c5f2d40d6c136cc2b664f65e6596d3b6", "sha256": "78318049e7eb8ff166fff71218282013cf4201c1386fdf30c395f345c4cda4ab" }, "downloads": -1, "filename": "skultrafast-0.2.win-amd64.zip", "has_sig": false, "md5_digest": "c5f2d40d6c136cc2b664f65e6596d3b6", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.5", "size": 2761292, "upload_time": "2018-09-20T18:38:14", "url": "https://files.pythonhosted.org/packages/ba/7d/28dbf27605792a2c8b83863d01793b0af2842bf3a9a66bf776326f551e55/skultrafast-0.2.win-amd64.zip" } ] }